Nvidia and AMD together invest $4 billion in Meta, alongside its $97.5 billion AI infrastructure financing

Nvidia and AMD are deepening chip partnerships to secure long-term AI infrastructure business as Meta expands AI compute spending.Wylie Wong,Chips and Hardware Writer

October 29, 20262 Min Read In an aerial view, the Meta El Paso Data Center is seen on August 13, 2026 in El Paso, Texas.Photo by Brandon Bell/Getty Images

Nvidia and AMD are investing a combined $4 billion in Meta as the chipmakers deepen their relationships with the hyperscaler and position themselves for a larger role in its expanding AI infrastructure footprint.

Meta disclosed Monday, Oct. 26, that it plans to raise $97.5 billion through an equity offering to support its continued investment in AI infrastructure. Nvidia announced a $3 billion investment the same day, and AMD followed Tuesday with a $1 billion commitment.

As part of the expanded partnership with Nvidia, Meta plans to deploy more Nvidia infrastructure, including its Vera Rubin platform and Vera CPUs for next-generation agents, as well as Spectrum-X Ethernet networking and BlueField-4 DPUs, the companies said.

Nvidia and Meta also said they will deepen their collaboration on Meta’s Muse models and agents, which leverage Nvidia infrastructure. The companies are also considering additional work involving Nvidia OpenShell Reference Architecture to strengthen AI agent security.

AMD, meanwhile, used its Tuesday announcement to highlight new milestones in its partnership with Meta. The chipmaker said initial AMD Helios rack-scale systems have been installed and are being tested by Meta ahead of a broader deployment.

AMD also said Meta has deployed millions of Epyc processors and is a lead customer of its sixth-generation Epyc CPUs. According to AMD, Epyc chips support the dedicated computing environments behind Meta’s Muse personal AI agent.

Meta is also using AMD Instinct GPUs for training, ranking, and recommendation workloads and plans to deploy a custom AMD Instinct GPU optimized for its own workloads, AMD said.

Analysts said the investments reflect Nvidia’s and AMD’s efforts to secure long-term AI infrastructure business with major hyperscalers.

“This continues AMD’s and Nvidia’s investments in strategic hyperscalers to drive greater adoption of their platforms,” said Matt Kimball, vice president and principal analyst at Moor Insights & Strategy.

Brendan Burke, research director at Futurum Group, said both Nvidia and AMD view Meta’s AI agent strategy as one of the more promising in AI. Meta’s recent progress in training models and advancing its personal AI agent strategy, he said, suggests it has become a viable frontier AI lab, underscoring why the company continues to increase compute spending.

That gives both Nvidia and AMD a strong incentive to support Meta’s roadmap more aggressively, Burke said, with the potential payoff coming through future GPU and CPU purchases.

Wylie Wong is a journalist and freelance writer specializing in technology, business and sports. He previously worked at CNET, Computerworld and CRN and loves covering and learning about the advances and ever-changing dynamics of the technology industry. On the sports front, Wylie is co-author of Giants: Where Have You Gone, a where-are-they-now book on former San Francisco Giants. He previously launched and wrote a Giants blog for the San Jose Mercury News, and in recent years, has enjoyed writing about the intersection of technology and sports.See more from Wylie Wong

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